| Authors |
C.A. Zelek, R.A. Geisbrecht, T.C. Grant, National Energy Technology
Laboratory; L.A. Goudarzi, K.M. Callahan, OnLocation; W. M. Babuich,
MRIGlobalAndrew
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| Source |
Carbon Management Technology Conference,
7-9 February 2012,
Orlando, Florida, USA
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| Preview |
Abstract
The National Energy Technology Laboratory (NETL) has funded development of a
NEMS-CTS (National Energy Modeling System - CO2 Capture, Transport, and
Storage) model that enables modeling of CO2 pipelines and pipeline networks
across the forty-eight contiguous states. An existing NEMS-based analysis used
by NETL to assess carbon capture and storage (CCS) for existing coal-fired
power plants was updated to include CO2 capture from both existing coal-fired
and new gas- and coalfired plants, factor in plant specific variations in the
costs of CO2 capture and include regional variations in the costs of the
transmission and sequestration of CO2. Pipeline networks in the updated model
are configured endogenously to be optimally consistent with the latest capacity
and cost data for the U.S. sequestration resource base. The model enables
analysis of various source, sink, and pipeline combinations under different
economic and policy scenarios. This paper presents a recent application of the
model to assess the role of CO2 capture, transport and storage (CTS) in both
carbon tax and clean energy standard scenarios. Documentation is presented for
key parts of the model, including: (1) capture costs – an update of the
original generic model, based on the AEP Conesville Unit 5 CCS retrofit study
(Ciferno, 2007), which included corrections based on capacity, heat rate, and
emission control configuration, now include corrections for other site specific
details such as space constraints and location; (2) sequestration capacity and
costs - NATCARB1 and other data bases are used for storage capacity and
formation properties which are combined with drilling, monitoring, and other
cost estimates in various cost models; (3) transmission costs - pipeline cost
data and GIS data on siting constraints are combined in a General Algebraic
Modeling System (GAMS) based optimizer that configures an evolving pipeline
network ; (4) NEMS integration - the GAMS GDX utility is used to interface NEMS
and the GAMS based optimizer (CTS Module) such that the evolving pipeline
network and its associated cost adders for transmission and sequestration are
consistent with the penetration of CTS in NEMS.
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